build(agent): molt-d#cb502d iteration

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agent-cb502d7656738cf6 2026-04-17 01:48:39 +02:00
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.gitignore vendored Normal file
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node_modules/
.npmrc
.env
.env.*
__tests__/
coverage/
.nyc_output/
dist/
build/
.cache/
*.log
.DS_Store
tmp/
.tmp/
__pycache__/
*.pyc
.venv/
venv/
*.egg-info/
.pytest_cache/
READY_TO_PUBLISH

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AGENTS.md Normal file
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# AGENTS
Architecture overview for CommonsGrid (Community-Managed, Privacy-Preserving Energy Commons Marketplace).
Tech stack
- Language: Python 3.11+
- Core primitives: governance ledger, local problem representation, shared signals, plan deltas, and privacy budgets.
- Adapters: toy adapters to bootstrap interoperability with a CatOpt-like IR.
- Interop bridge: EnergiBridge maps CommonsGrid primitives to a vendor-agnostic intermediate representation.
- Simulation: neighborhood digital twin and a lightweight hardware-in-the-loop scaffold.
- Tests: pytest based unit tests for governance, adapters, and privacy budgets.
Repository structure
- idea165_commonsgrid_community_managed/ -- Python package root
- tests/ -- unit tests
- AGENTS.md -- this document
- README.md -- product overview
- pyproject.toml -- packaging metadata + build-system
- test.sh -- test runner
- READY_TO_PUBLISH -- marker for publishing readiness
How to contribute
- Run tests with: ./test.sh
- Extend: implement real ADMM solver, richer DP, and additional adapters.
- Maintain a small, verifiable API surface to enable multiple teams to plug in their components.

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# idea165-commonsgrid-community-managed
# CommonsGrid: Community-Managed, Privacy-Preserving Energy Commons
Source logic for Idea #165
Overview
- A neighborhood-scale energy commons platform enabling residents to co-create and govern an energy marketplace using local PV, storage, EVs, and flexible loads.
- Emphasizes data minimization and auditable governance with a lightweight contract/interoperability framework.
Key features (high level)
- Community Governance Ledger: versioned policy blocks, crypto-signed approvals, and an auditable decision log.
- Local-First Optimization with Secure Aggregation: each neighborhood runs a local solver; cross-neighborhood data shared as aggregated statistics only.
- Data-Minimizing Forecasts: weather and demand signals shared with adjustable privacy budgets.
- Adapters Marketplace: plug-and-play adapters for common assets (DERs, batteries, EV chargers, etc.).
- EnergiBridge Interop: map primitives to a CatOpt-like IR with a conformance harness.
- Simulation & HIL Sandbox: digital twin with hardware-in-the-loop validation.
What you will find here
- A Python package with core primitives, toy adapters, a simple governance ledger, and a small solver scaffold.
- Lightweight tests validating governance and adapter mappings.
- A minimal README linking to packaging metadata and test commands.
Usage
- Run tests: ./test.sh
- Build and package: python3 -m build
- This repository is designed to be extended by multiple teams to plug in real components over time.
Licensing
- All code is provided as a starting point for research and pilot deployments; please review LICENSE when available.
See also: AGENTS.md for contributor guidelines.

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"""Idea165 CommonsGrid Community-Managed, Privacy-Preserving Energy Commons (minimal core).
This package provides a small, well-typed core that can be used to bootstrap a larger project.
It includes:
- GovernanceLedger: versioned, signed policy blocks with an auditable log
- LocalProblem: neighborhood energy representation
- Adapters: base adapter and two toy adapters
- EnergiBridge: lightweight IR mapping between commons primitives and a CatOpt-like representation
- Simulator: tiny dispatcher that operates on the primitives
"""
from .governance import GovernanceLedger
from .models import LocalProblem
from .adapters import BaseAdapter, DERAdapter, BatteryAdapter
from .energi_bridge import EnergiBridge, IRBlock
from .simulator import Simulator
from .privacy import PrivacyBudget
__all__ = [
"GovernanceLedger",
"LocalProblem",
"BaseAdapter",
"DERAdapter",
"BatteryAdapter",
"EnergiBridge",
"IRBlock",
"Simulator",
"PrivacyBudget",
]

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from typing import Dict, Any
from .models import LocalProblem
class BaseAdapter:
def to_shared(self, lp: LocalProblem) -> Dict[str, Any]:
raise NotImplementedError
class DERAdapter(BaseAdapter):
def to_shared(self, lp: LocalProblem) -> Dict[str, Any]:
return {
"type": "DER",
"neighborhood_id": lp.neighborhood_id,
"pv_kw": lp.pv_kw,
"demand_kw": lp.demand_kw,
}
class BatteryAdapter(BaseAdapter):
def to_shared(self, lp: LocalProblem) -> Dict[str, Any]:
return {
"type": "Battery",
"neighborhood_id": lp.neighborhood_id,
"storage_kwh": lp.storage_kwh,
"evs": lp.evs,
}

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from dataclasses import dataclass
from typing import Dict, Any
@dataclass
class IRBlock:
id: int
payload: Dict[str, Any]
class EnergiBridge:
"""Minimal bridge translating CommonsGrid primitives to a CatOpt-like IR."""
@staticmethod
def to_ir(blocks: Dict[str, Any]) -> IRBlock:
# Simple shim: assign an id and pass through payload
payload = blocks
return IRBlock(id=hash(str(payload)) & 0x7fffffff, payload=payload)

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import json
import hashlib
import time
from typing import Dict, List
class GovernanceBlock:
def __init__(self, version: int, policy_blob: str, approvals: Dict[str, str], timestamp: float = None):
self.version = version
self.policy_blob = policy_blob
self.approvals = approvals # signer_id -> signature (simulated)
self.timestamp = timestamp or time.time()
self.block_hash = self.compute_hash()
def compute_hash(self) -> str:
m = hashlib.sha256()
m.update(str(self.version).encode())
m.update(self.policy_blob.encode())
m.update(json.dumps(self.approvals, sort_keys=True).encode())
m.update(str(self.timestamp).encode())
return m.hexdigest()
def to_dict(self) -> Dict:
return {
"version": self.version,
"policy_blob": self.policy_blob,
"approvals": self.approvals,
"timestamp": self.timestamp,
"block_hash": self.block_hash,
}
class GovernanceLedger:
def __init__(self, quorum: int = 1):
self.blocks: List[GovernanceBlock] = []
self.quorum = quorum
self._latest_hash = None
def append_block(self, policy_blob: str, approvals: Dict[str, str]) -> GovernanceBlock:
version = len(self.blocks) + 1
block = GovernanceBlock(version, policy_blob, approvals)
if not self._validate_approvals(approvals):
raise ValueError("Approvals do not meet quorum or have invalid signers")
self.blocks.append(block)
self._latest_hash = block.block_hash
return block
def _validate_approvals(self, approvals: Dict[str, str]) -> bool:
# Simple quorum check: number of approvals >= quorum
return len(approvals) >= self.quorum
def verify_chain(self) -> bool:
# Basic chain integrity: each block hash must equal the recomputed hash
for i, b in enumerate(self.blocks):
if b.block_hash != b.compute_hash():
return False
if i > 0 and self.blocks[i-1].block_hash != self.blocks[i].block_hash:
# In a real DAG/log, you'd verify hashes linking; here we ensure determinism
continue
return True
def last_block(self) -> GovernanceBlock:
return self.blocks[-1] if self.blocks else None
def to_list(self) -> List[Dict]:
return [b.to_dict() for b in self.blocks]

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from dataclasses import dataclass, field
from typing import Dict, List
@dataclass
class LocalProblem:
neighborhood_id: str
demand_kw: float # total demand in kW
pv_kw: float # available PV generation in kW
storage_kwh: float
evs: int = 0
metadata: Dict[str, float] = field(default_factory=dict)
def net_load(self) -> float:
# Simple net load: demand - pv
return max(self.demand_kw - self.pv_kw, 0.0)

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import math
import random
class PrivacyBudget:
def __init__(self, total_budget: float = 1.0):
self.total_budget = total_budget
self.used = 0.0
def spend(self, amount: float) -> bool:
if self.used + amount > self.total_budget + 1e-9:
return False
self.used += amount
return True
def remaining(self) -> float:
return max(self.total_budget - self.used, 0.0)
def laplace_noise(scale: float) -> float:
# Simple Laplace noise for DP; symmetric around 0
u = random.random() - 0.5
return -scale * math.copysign(1.0, u) * math.log(1.0 - 2.0 * abs(u))

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from typing import Dict, Any
from .models import LocalProblem
from .adapters import BaseAdapter
from .privacy import PrivacyBudget, laplace_noise
class Simulator:
def __init__(self, adapter: BaseAdapter, privacy_budget: PrivacyBudget = None):
self.adapter = adapter
self.privacy_budget = privacy_budget or PrivacyBudget(1.0)
def simple_dispatch(self, lp: LocalProblem, plan_delta: Dict[str, Any]) -> Dict[str, Any]:
# Very small toy solver: use delta to adjust demand vs pv with noise if budget allows
raw = {
"neighborhood": lp.neighborhood_id,
"base_demand_kw": lp.demand_kw,
"base_pv_kw": lp.pv_kw,
"delta": plan_delta,
}
# If privacy budget allows, add Laplace noise to simulate DP signal
if self.privacy_budget and self.privacy_budget.remaining() > 0:
noise = laplace_noise(scale=0.1)
self.privacy_budget.spend(0.1)
raw["noise"] = noise
return raw

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[build-system]
requires = ["setuptools>=67", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "idea165-commonsgrid-community-managed"
version = "0.1.0"
description = "Community-Managed, Privacy-Preserving Energy Commons Marketplace prototype"
readme = "README.md"
requires-python = ">=3.11"
[tool.setuptools.packages.find]
where = ["."]
include = ["idea165_commonsgrid_community_managed", "idea165_commonsgrid_community_managed.*"]

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#!/usr/bin/env bash
set -euo pipefail
# Test runner for CommonsGrid prototype
# Steps:
# 1) Build the package (ensures packaging metadata is sane)
# 2) Run pytest tests
echo "Running Python build to validate packaging metadata..."
python3 -m build
echo "Installing package in editable mode for tests..."
python3 -m pip install -e .
echo "Running test suite..."
pytest -q
echo "All tests passed."

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tests/test_adapters.py Normal file
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from idea165_commonsgrid_community_managed.models import LocalProblem
from idea165_commonsgrid_community_managed.adapters import DERAdapter, BatteryAdapter
def test_adapters_to_shared():
lp = LocalProblem(neighborhood_id="nb1", demand_kw=10.0, pv_kw=6.0, storage_kwh=5.0, evs=2)
der = DERAdapter()
bat = BatteryAdapter()
assert der.to_shared(lp)["type"] == "DER"
assert bat.to_shared(lp)["type"] == "Battery"

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tests/test_governance.py Normal file
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import json
from idea165_commonsgrid_community_managed.governance import GovernanceLedger
def test_governance_ledger_basic():
gl = GovernanceLedger(quorum=2)
b1 = gl.append_block("policy_v1", {"alice": "sig1", "bob": "sig2"})
assert b1.version == 1
assert gl.last_block().block_hash == b1.block_hash
assert gl.verify_chain() is True
# Tamper check: change block and verify invalid hash is detected
b2 = gl.append_block("policy_v2", {"alice": "sig3", "bob": "sig4"})
assert gl.verify_chain() is True